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1.
Drug Metab Dispos ; 42(9): 1379-91, 2014 Sep.
Article in English | MEDLINE | ID: mdl-24924386

ABSTRACT

Cytochrome P450 (P450) induction is often considered a liability in drug development. Using calibration curve-based approaches, we assessed the induction parameters R3 (a term indicating the amount of P450 induction in the liver, expressed as a ratio between 0 and 1), relative induction score, Cmax/EC50, and area under the curve (AUC)/F2 (the concentration causing 2-fold increase from baseline of the dose-response curve), derived from concentration-response curves of CYP3A4 mRNA and enzyme activity data in vitro, as predictors of CYP3A4 induction potential in vivo. Plated cryopreserved human hepatocytes from three donors were treated with 20 test compounds, including several clinical inducers and noninducers of CYP3A4. After the 2-day treatment, CYP3A4 mRNA levels and testosterone 6ß-hydroxylase activity were determined by real-time reverse transcription polymerase chain reaction and liquid chromatography-tandem mass spectrometry analysis, respectively. Our results demonstrated a strong and predictive relationship between the extent of midazolam AUC change in humans and the various parameters calculated from both CYP3A4 mRNA and enzyme activity. The relationships exhibited with non-midazolam in vivo probes, in aggregate, were unsatisfactory. In general, the models yielded better fits when unbound rather than total plasma Cmax was used to calculate the induction parameters, as evidenced by higher R(2) and lower root mean square error (RMSE) and geometric mean fold error. With midazolam, the R3 cut-off value of 0.9, as suggested by US Food and Drug Administration guidance, effectively categorized strong inducers but was less effective in classifying midrange or weak inducers. This study supports the use of calibration curves generated from in vitro mRNA induction response curves to predict CYP3A4 induction potential in human. With the caveat that most compounds evaluated here were not strong inhibitors of enzyme activity, testosterone 6ß-hydroxylase activity was also demonstrated to be a strong predictor of CYP3A4 induction potential in this assay model.


Subject(s)
Cytochrome P-450 CYP3A/genetics , Cytochrome P-450 CYP3A/metabolism , Enzyme Induction/genetics , Area Under Curve , Calibration , Cells, Cultured , Cryopreservation/methods , Hepatocytes/metabolism , Humans , Mixed Function Oxygenases/metabolism , Pharmaceutical Preparations/administration & dosage , Pharmaceutical Preparations/metabolism , RNA, Messenger/genetics , Testosterone/metabolism , United States , United States Food and Drug Administration
2.
Drug Metab Lett ; 4(4): 185-94, 2010 Dec.
Article in English | MEDLINE | ID: mdl-20583967

ABSTRACT

U.S. FDA and EMEA guidance recommend that the preferred in vitro model for cytochrome P450 induction testing is human hepatocytes coupled with acceptable inducers as controls. However, there are surprisingly few published studies characterizing this model system for dose and time-dependence response to model inducing compounds. The concentration-dependent response and time-course for the induction of CYP1A2, CYP2B6 and CYP3A4 by inducing agents ß-naphthoflavone, phenobarbital and rifampicin, respectively were examined in two or more donors using multiple end-points (mRNA, enzyme activity and Western blot analysis). Depending on the endpoint, exposure time for maximal response of CYP induction potential for the three enzymes ranged from 24 to 72 hours. Of the concentrations of BNF, PB and RIF tested, those which gave the maximal response were found to be 33 µM, > 2 mM and 10 µM, respectively.


Subject(s)
Aryl Hydrocarbon Hydroxylases/biosynthesis , Biological Assay , Cytochrome P-450 CYP1A2/biosynthesis , Cytochrome P-450 CYP3A/biosynthesis , Hepatocytes/drug effects , Oxidoreductases, N-Demethylating/biosynthesis , Phenobarbital/pharmacology , Rifampin/pharmacology , beta-Naphthoflavone/pharmacology , Aryl Hydrocarbon Hydroxylases/genetics , Biological Assay/standards , Blotting, Western , Cells, Cultured , Cytochrome P-450 CYP1A2/genetics , Cytochrome P-450 CYP2B6 , Cytochrome P-450 CYP3A/genetics , Dose-Response Relationship, Drug , Endpoint Determination , Enzyme Induction , Hepatocytes/enzymology , Humans , Oxidoreductases, N-Demethylating/genetics , RNA, Messenger/biosynthesis , Reverse Transcriptase Polymerase Chain Reaction , Substrate Specificity , Time Factors
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